1

Internship Time Series Analysis Jobs in Illinois

Integrate emerging methods into existing framework, and push Cushman & Wakefield to the frontier of forecasting and predictive (time series) analytics. Serve as key partner to Global Chief Economist ...

Integrate emerging methods into existing framework, and push Cushman & Wakefield to the frontier of forecasting and predictive (time series) analytics. Serve as key partner to Global Chief Economist ...

Integrate emerging methods into existing framework, and push Cushman & Wakefield to the frontier of forecasting and predictive (time series) analytics. Serve as key partner to Global Chief Economist ...

Integrate emerging methods into existing framework, and push Cushman & Wakefield to the frontier of forecasting and predictive (time series) analytics. Serve as key partner to Global Chief Economist ...

... and time series analysis • Propose and develop machine learning ensemble methods that exhibit the best out-of-sample characteristics possible given the input dataset • Utilize expertise in ...

Junior Algorithmic Trader

Chicago, IL · On-site

$69K - $89.60K/yr

... time series analysis, you will experience a deep dive into real-time trading and gain exposure to ... Project or internship experience in data analysis, quantitative modeling and/or machine learning

Junior Algorithmic Trader

Chicago, IL

$69K - $89.60K/yr

... time series analysis, you will experience a deep dive into real-time trading and gain exposure to ... Project or internship experience in data analysis, quantitative modeling and/or machine learning

Strong knowledge of statistics, time-series analysis, algorithms, asset pricing theory . * Experience building and supporting real-time, batch, and orchestrated architectures . * Strong Test-Driven ...

next page

Showing results 1-20

Internship Time Series Analysis information

What are the key skills and qualifications needed to thrive as an Internship Time Series Analysis, and why are they important?

To thrive as an Internship Time Series Analysis, you need a solid grounding in statistics, data analysis, and proficiency in mathematical concepts, usually supported by coursework in mathematics, statistics, or data science. Familiarity with technical tools such as Python or R, and experience with libraries like pandas, NumPy, and statsmodels, as well as data visualization platforms, are highly valuable. Analytical thinking, problem-solving abilities, and strong communication skills set candidates apart in interpreting results and presenting findings. These skills ensure accurate modeling, effective data-driven insights, and clear communication of complex temporal patterns for impactful business or research decisions.

What types of projects or tasks can I expect to work on during an internship in time series analysis?

As an intern specializing in time series analysis, you will typically assist with collecting, cleaning, and analyzing temporal data using statistical software such as Python or R. Your projects may include forecasting trends, detecting anomalies, and visualizing patterns in data sets from fields like finance, healthcare, or operations. You will often collaborate with data scientists, analysts, and business stakeholders to translate findings into actionable insights, while learning to apply techniques such as ARIMA, exponential smoothing, or machine learning models. This hands-on experience is a valuable foundation for pursuing advanced roles in data science and analytics.

What is an internship in time series analysis?

An internship in time series analysis is a temporary position, often for students or recent graduates, where you gain hands-on experience analyzing data that is collected over time. Interns typically work with datasets to identify trends, patterns, and make forecasts using statistical and machine learning techniques. The role may involve using tools like Python, R, or specialized software to clean data, build models, and visualize results. It’s a valuable opportunity to apply theoretical knowledge from coursework to real-world problems in industries such as finance, economics, or technology.

What is the difference between Internship Time Series Analysis vs Data Analyst?

AspectInternship Time Series AnalysisData Analyst
Required CredentialsRelevant coursework, basic statistical knowledgeBachelor's degree in related field, some certifications
Work EnvironmentInternship setting, supervised projectsFull-time or part-time professional role
Industry UsageEntry-level, learning-focusedBusiness, finance, healthcare, and more

Internship Time Series Analysis is an entry-level, learning-focused role typically performed during internships, emphasizing foundational skills in analyzing time-based data. In contrast, Data Analysts are more experienced professionals responsible for interpreting data to inform business decisions. While both roles involve data analysis, internships are more about gaining experience, whereas Data Analysts perform ongoing, complex analysis in various industries.

What are the most commonly searched types of Time Series Analysis jobs in Illinois? The most popular types of Time Series Analysis jobs in Illinois are:
What job categories do people searching Internship Time Series Analysis jobs in Illinois look for? The top searched job categories for Internship Time Series Analysis jobs in Illinois are:

Matlab analytics developer

ITech Recruiting

Chicago, IL

Full-time

Posted 7 days ago


Job description

We are looking for strong matlab developers who have good OO experience and Sybase SQL knowledge. You'll be responsible for developing the Global Equity matlab access layer for data warehouse and developing Financial applications for managing risk, a custom index quoting framework, and matlab GUIs. You will guided by requirement from our quantitative research team. You will be enhancing our matlab object oriented financial tools boxes.
Required skills:
-A college degree in C.S. or related.
-expert matlab developer version 7.0.1 (6.5 acceptable)
-familiar with objects in matlab
-know SQL to access databases
-financial knowledge is a +
-time series analysis experience
-OO experience required
-Quantitative background is a big plus.
-C++ experience is desired, but not required
-Comfortable with Linux/Windows programming environment